khairilradzali
"The goal is to turn data into information, and information into insight" - Carly Fiorina
Kuala Lumpur
Pinned Repositories
cca
Canonical correlation analysis (CCA) is a general multivariate method that is mainly used to study relationships when both sets of variables are quantitative.
correlation_analysis
A short analysis conducted using Skill Network Lab using a publicly available dataset (automobile.csv). And the objective of this repository was to find correlations between the attributes using Pearson and Spearman rank correlation.
creatingphyloseq
Phyloseq is mainly a package to analyze data consisting of operational taxonomic unit (OTU), metadata, taxonomy, and phylogenetic tree (optional).
knn_prediction
The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems.
linearregression_fuelconsumption
Linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables.
metagenomicanalysis_mini_project
A mini project using a publicly available dataset. The objectives include rarefaction curve, taxonomic, diversity, differential abundance, and network analysis. Kindly cite the original authors if you used the datasets and code.
sentiment_analysis_SPARK
Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
khairilradzali's Repositories
khairilradzali/correlation_analysis
A short analysis conducted using Skill Network Lab using a publicly available dataset (automobile.csv). And the objective of this repository was to find correlations between the attributes using Pearson and Spearman rank correlation.
khairilradzali/cca
Canonical correlation analysis (CCA) is a general multivariate method that is mainly used to study relationships when both sets of variables are quantitative.
khairilradzali/creatingphyloseq
Phyloseq is mainly a package to analyze data consisting of operational taxonomic unit (OTU), metadata, taxonomy, and phylogenetic tree (optional).
khairilradzali/knn_prediction
The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems.
khairilradzali/linearregression_fuelconsumption
Linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables.
khairilradzali/metagenomicanalysis_mini_project
A mini project using a publicly available dataset. The objectives include rarefaction curve, taxonomic, diversity, differential abundance, and network analysis. Kindly cite the original authors if you used the datasets and code.
khairilradzali/sentiment_analysis_SPARK
Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.